AndreaBozzo/ceres-open-data-index huggingface dataset:
Implantation de puits au Mali par Via Sahel : données hydrogéologiques (2008-2020)

[Lien vers la fiche source] Les besoins en eau accrus de la population locale et l'intérêt scientifique de la nappe phréatique de la plaine ont conduit en 2011 à la création du programme Via Sahel Hydrogéologie (VSHy) ([https://www.viasahel.fr/activites/hydrogeologie]). La base de données des puits de l'ONG Via Sahel (VS) a été initiée pour suivre le creusement de puits (prospection, avancement, financement…) sous la supervision d'Alain Vallet, consultant de l'ONG Via Sahel à Sangha sur le plateau de Bandiagara au Pays Dogon (Mali), en coordination avec le responsable puits de Via Sahel Toulouse. Parmi les 233 puits de cette base de données VS, creusés entre 1997 et 2020, essentiellement dans la plaine sédimentaire du Séno-Gondo du Pays Dogon, certains ont mis du temps à être creusés ou ont été abandonnés (présence importante de roche…). Cette première base de données (BDpuitsVS) a été développée à la création en 2011 du programme Via Sahel Hydrogéologie (VSHy) avec l'adjonction de mesures hydrogéologiques (relèvement précis des positions de puits, des profondeurs d'eau et du fond du puits, échantillonnage de roche…) dans les puits VS et dans un maximum d'autres puits de la plaine. Cela a abouti à la création de trois autres bases de données puits avec au total 1550 relevés dans 858 puits qui ont permis de cartographier précisément la piézométrie de la nappe phréatique de la plaine et en particulier de développer une application sur téléphone portable de prévision de profondeur de la nappe phréatique. Quatre bases de données puits ont donc été progressivement élaborées dans le cadre du programme VSHy : * la base de données "Puits" la plus complète possible propre à Via Sahel (BDpuitsVS-complete-6dec21.xls) qui rassemble un maximum d'informations sur les 233 puits creusés par VS (emplacement, position précises par images satellitaires, construction, financement, avancement des travaux, relevés hydrogéologiques…) * la base de données "Puits supplémentaires au pied de la falaise de Bandiagara" (BDpuitsSup-pied-falaise-2020.xls), soit 139 puits correspondant au début de la nappe phréatique de la plaine dans notre zone d'intérêt * la base de données des 53 puits creusés dans la plaine par l'ONG partenaire Fraternité Dogon (BDpuitsFD-VSHy-2021.xls) * la base de données "Puits supplémentaires dans la plaine" (BDpuitsSup-plaine-2021.xls), succincte en terme d'informations, soit 433 puits qui ont été mesurés lors des campagnes de prospection puits VS et lors de campagnes spécifiques de recherches de puits détectés par images satellitaires pour améliorer les cartes hydrogéologies.
Water level in the Riviera catchment (Cocody, Abidjan, Côte d'Ivoire) (2020-)

[Lien vers la fiche source] The Riviera watershed (Abidjan, Côte d'Ivoire) is urbanized and prone to flooding from overflowing stormwater drainage channels. This dataset provides instantaneous water level (cm) measured every minute in Palmeraie station in Cocody, Abidjan (Longitude -3,953755 Latitude 5,374638) since June 2020. Each water level station is equipped with a piezometric probe associated to a HYDREKA standalone data recorder with a communication capability (Octopus LX). A manually read staff gauge is used to control the water level determined by the pressure probe. Data are collected monthly.
Microplastic concentrations in riverine and beach environments of Ba Ria Vung Tau province, Southern Vietnam, under COMPOSE (2019-2021) and CounterMEASUREII (2021-2022) projects

[Lien vers la fiche source] Microplastic (300-5000µm) concentrations were measured in the Dinh River, the Thi Vai River and in the shoreline of the Back and Mudberry beaches of Ba Ria Vung Tau province, Southern Vietnam, under the COMPOSE project (2019-2021) and the CounterMEASUREII project (2021-2022). Microplastic were sampled using a 80µm mesh size net from a local boat. The samples were extracted in the laboratory using enzymatic digestion, NaCl density separation and were filtrated on GF-A filter. Then microplastic were observed on stereomicroscope and length, area, color were measured for fragments, line and circle. Concentrations are given in total microplastic per m3, fragment per m3 and fibers per m3. The sampling dates are October 2019, January 2020, April 2020, July 2020, October 2020, January 2021 and March 2021 under COMPOSE Project ; January 2022 under the CounterMEASUREII project.
Morphometric analysis of twelve ants species collected in Tunisia between 2018 and 2019.

[Lien vers la fiche source] Characterization of 63 ants from samplings conducted in Dar Dhaoui and Chammakh from 07/11/2018 to 02/07/2019. A total of 42 samplings of 1 to 30 individuals were carried out on sight, with tweezers, close to nests or along foraging lines. For each of these samples, ants were identified using the Henri Cagniant key http://henri.cagniant.free.fr/cle_de_determination.html. When possible, one ant of each species and each morphe (for polymorphic species), were measured and described.
Microplastic concentrations in lagoon, bay and beach environments of Binh Dinh province, Central Vietnam. COMPOSE (2019-2021) and CounterMEASUREII  (2021-2022) projects

[Lien vers la fiche source] Microplastic (300-5000µm) concentrations were measured in the Thi Nai lagoon, Quy Nhon bay and beach, Ha Tay River, Kon River, Cat Tien beach and Eo beach environments of Binh Dinh province, Central Vietnam under the COMPOSE project (2019-2021) and the CounterMEASUREII project (2021-2022). Microplastic were sampled using a 80µm mesh size net from a local boat. The samples were extracted in the laboratory using enzymatic digestion, NaCl density separation and were filtrated on GF-A filter. Then microplastic were observed on stereomicroscope and length, area, color were measured for fragments, line and circle. Concentrations are given in total microplastic per m3, fragment per m3 and fibers per m3. The sampling dates are October 2019, January 2020, April 2020, July 2020, October 2020, January 2021 and March 2021 under COMPOSE Project; September 2021, October 2021 and January 2022 under the CounterMEASUREII project.
Rainfall data collected by the HSM urban observatory OMSEV (2019-)

[Lien vers la fiche source] The rainfall gauge network is equipped with tipping buckets (DAVIS Rain Collector 6465M, resolution 0.2mm). The collecting area is 214 cm². The raw data, corresponding to the number of tipping per minute, are UT referenced. A static and dynamic calibration was carried out following the WMO Norm [1]. The calibration procedure involves a peristaltic pump and a precision weighing under variable intensity ranging from 10 to 800mm/h. A calibration curve was fitted for each gage. Further analysis indicates that the same calibration relationship can be used for all gages without introducing significant distortion. This latter approach, being more robust than the former, is used to produce the calibrated data [2]. [1] World Meteorological Organization, Guide to Instruments and Methods of Observation (WMO-No. 8), ISBN: 978-92-63-10008-5 [ library.wmo.int_notice] [2] Robin Raphael, 2021. [Calibration du réseau de pluviographes de l'observatoire HSM « Eau dans la ville »], Projet de Fin d'Etudes, Polytech'Montpellier, département STE, 63p.
Microplastic concentrations in surface waters of Dau Tieng and Tri an reservoirs

[Lien vers la fiche source] Microplastic (300-5000µm) concentrations were measured in the Dau Tieng reservoir of Tay Ninh province at three sampling sites and in the Tri An reservoir of Dong Nai province, at five sampling sites, in April 2021 (dry season) and in October 2021 (rainy season). Microplastic were sampled using a 80µm mesh size net from a local boat. The samples were extracted in the laboratory using enzymatic digestion, NaCl density separation and were filtrated on GF-A filter. Then microplastic were observed on stereomicroscope and length, area, color were measured for fragments, line and circle. Concentrations are given in total microplastic per m3, fragment per m3 and fibers per m3.
Microplastic concentrations in urban lake environments of Hanoi and rivers in Bac Ninh, Northern Vietnam, under COMPOSE (2019-2021) and CounterMEASUREII (2021-2022) projects

[Lien vers la fiche source] Microplastic (300-5000µm) concentrations were measured in Ho Tay lake, Yen So lake, Bay Mau lake and Hoan Kiem lake of Hanoi, and Cam river and Thai Binh river of Bac Ninh province, Northern Vietnam, under the COMPOSE project (2019-2021). Microplastic were sampled using a 80µm mesh size net from a local boat. The samples were extracted in the laboratory using enzymatic digestion, NaCl density separation and were filtrated on GF-A filter. Then microplastic were observed on stereomicroscope and length, area, color were measured for fragments, line and circle. Concentrations are given in total microplastic per m3, fragment per m3 and fibers per m3. The sampling dates are October 2019, February 2020, July 2020, October 2020, January 2021, October 2021 and January 2022
Microplastic concentrations in riverine and lake environments of Da Nang province and Quang Nam provinces, Central Vietnam, under COMPOSE (2019-2021) and CounterMEASUREII (2021-2022) projects

[Lien vers la fiche source] Microplastic (300-5000µm) concentrations were measured in the Central Park Lake, Hoa Phu Lake and Han River environments of Da Nang city, and in the Thu Bon River and Cu De River of Quang Nam province Central Vietnam, under the COMPOSE project (2019-2021)and the CounterMEASUREII project (2021-2022). Microplastic were sampled using a 80µm mesh size net from a local boat. The samples were extracted in the laboratory using enzymatic digestion, NaCl density separation and were filtrated on GF-A filter. Then microplastic were observed on stereomicroscope and length, area, color were measured for fragments, line and circle. Concentrations are given in total microplastic per m3, fragment per m3 and fibers per m3. The sampling dates are October 2019, January 2020, May 2020, July 2020, October 2020, January 2021 and March 2021 under COMPOSE Project and October 2021 and January 2022 under the CounterMEASUREII project.
Microplastic concentrations in bay environments of Quang Ninh and Hai Phong provinces, Northern Vietnam, COMPOSE (2019-2021) and CounterMEASUREII (2021-2022) projects

[Lien vers la fiche source] Microplastic (300-5000µm) concentrations were measured in the Cua Luc Bay and Ha Long Bay of Quang Ninh province and in the Do Son Bay, Cat Ba Bay, Lach Tray River and Cam River of Hai Phong province, Northern Vietnam,, under the COMPOSE project (2019-2021)and the CounterMEASUREII project (2021-2022). Microplastic were sampled using a 80µm mesh size net from a local boat. The samples were extracted in the laboratory using enzymatic digestion, NaCl density separation and were filtrated on GF-A filter. Then microplastic were observed on stereomicroscope and length, area, color were measured for fragments, line and circle. Concentrations are given in total microplastic per m3, fragment per m3 and fibers per m3. The sampling dates are October 2019, January 2020, May 2020, July 2020, October 2020, January 2021, October 2021 and January 2022
Microplastic concentrations in surface water and sediment of Mekong Delta, Southern Vietnam, October 2018

[Lien vers la fiche source] Microplastic (300-5000µm) concentrations were measured in six sites along the Tien River and its distributaries (Mekong Delta, Southern Vietnam) in October 2018: Cao Lanh site, My Tho site, Cho Lach site, Ben Tre site, Tra Vinh site and Vinh Long site. Microplastic were sampled using a 80µm mesh size net from a local boat for water sample and using a spatula on surface intertidal sediment for sediment sample. The samples were extracted in the laboratory using enzymatic digestion, NaCl density separation and were filtrated on GF-A filter. Then microplastic were observed on stereomicroscope and length, diameter, area, color were measured for fragments, line and circle. Concentrations are given in total microplastic per m3, fragment per m3 and fibers per m3.
Results of surveys related to sources and languages - ASSET Knowledge Hub

[Lien vers la fiche source] The overall objective of the ASSET Project is to transform food and agricultural systems in Southeast Asia more sustainable, safer and inclusive, through harnessing the potential of Agroecology. In this context, 3 workshops were organized in November 2022 in Cambodia, Laos and Vietnam to identify relevant sources, kind of media, languages useful for the Knowledge Hub of the ASSET project. This dataset contains the results of these surveys.
ASSET Theoretical Lexicon: An agroecology lexicon

[Lien vers la fiche source] The overall objective of the ASSET Project is to transform food and agricultural systems in Southeast Asia more sustainable, safer and inclusive, through harnessing the potential of Agroecology. In this context, working groups were organized in order to build a lexicon composed by 16 concepts with 331 terms dealing with Agroecology. This lexicon could be used for the knowledge hub associated with the ASSET Project. In November 2022, 3 workshops were organized in Cambodia, Laos and Vietnam to validate these terms. This dataset contains: - A presentation that summarizes the methods (i‧e. expertise, text-mining) and sources (i‧e. Agrovoc, dicoAE) used to construct this theoretical lexicon (TL) - A presentation that details how this kind of lexicon is used with KEOPS - The agroecology theoretical lexicon (TL) with terms validated
COCO-style geographically unbiased image dataset for computer vision applications

[Lien vers la fiche source] There are already a lot of datasets linked to computer vision tasks (Imagenet, [MS COCO], Pascal VOC, OpenImages, and numerous others), but they all suffer from important bias. One bias of significance for us is the data origin: most datasets are composed of data coming from developed countries. Facing this situation, and the need of data with local context in developing countries, we try here to adapt common data generation process to inclusive data, meaning data drawn from locations and cultural context that are unseen or poorly represented. We chose to replicate MS COCO's data generation process, as it is well documented and easy to implement. Data was collected from January to April 2022 through [Flickr platform]. This dataset contains the results of our data collection process, as follows : * 23 text files containing comma separated URLs for each of the 23 geographic zones identified in the UN M49 norm. These text files are named according to the names of the geographic zones they cover. * Annotations for 400 images per geographic zones. Those annotations are COCO-style, and inform on the presence or absence of 91 categories of objects or concepts on the images. They are shared in a JSON format. * Licenses for the 400 annotations per geographic zones, based on the original licenses of the data and specified per image. Those licenses are shared under CSV format. * A document explaining the objectives and methodology underlying the data collection, also describing the different components of the dataset.
Sub-catchments boundaries of the Houay Pano catchment, northern Lao PDR

[Lien vers la fiche source] This dataset has been collected thanks to the long-term partnership with Department of Agricultural Land Management (DALaM), Lao PDR, which granted the permission for field access, and to the financial, scientific, technical, and/or logistical support of the Multiscale TROPIcal CatchmentS (SNO M-TROPICS; [https://mtropics.obs-mip.fr/]) critical zone observatory (previously MSEC). This shapefile dataset includes the boundaries of sub-catchments of the Houay Pano catchment, northern Lao PDR. Boundaries were defined based on the digital elevation model (10 x 10 m) of the catchment, the location of the monitoring stations of the M-TROPICS critical zone observatory and of the inlet and the outlets of the headwater wetlands, and using the automatic watershed delineation tool of ArcSWAT (Arnold et al., 2012) embedded in ArcGIS 10.3. The authors acknowledge the financial support of Campus France through the PHC STAR program (project 41510WH) and the French National Research Agency (TecItEasy project ANR-13-AGRO-0007; [https://anr.fr/]).
Soil map of the Houay Pano catchment, northern Lao PDR (1998)

[Lien vers la fiche source] This dataset has been collected thanks to the long-term partnership with Department of Agricultural Land Management (DALaM), Lao PDR, which granted the permission for field access, and to the financial, scientific, technical, and/or logistical support of the Multiscale TROPIcal CatchmentS (SNO M-TROPICS; [https://mtropics.obs-mip.fr/]) critical zone observatory (previously MSEC). This shapefile dataset includes soil types, following the USDA Soil Taxonomy, of the Houay Pano catchment, northern Lao PDR. The map was built by the Soil Survey Staff of the National Agriculture and Forestry Research Institute (NAFRI) in 1998. The authors acknowledge the financial support of the Asian Development Bank (ADB), the International Water Management Institute (IWMI), the Institut de Recherche pour le Développement (IRD), the National Agriculture and Forestry Research Institute (NAFRI) in Lao PDR, the Soil Survey and Land Classification Center in Lao PDR, and the French Centre National de Recherche Scientifique (ECCO project “Dynamique et stabilisation des matières organiques dans des sols tropicaux: influence des brûlis, de l'érosion et de la mise en culture”).
Microplastic concentrations in riverine environments of Can Tho, Southern Vietnam, under CounterMEASUREII project (2021-2022)

[Lien vers la fiche source] Microplastic (300-5000µm) concentrations were measured in Eau River and two canals, Cai Khe and Cai rang of Can Tho, Southern Vietnam, under CounterMEASUREII project (2021-2022). Microplastic were sampled using a 80µm mesh size net from a local boat. The samples were extracted in the laboratory using enzymatic digestion, NaCl density separation and were filtrated on GF-A filter. Then microplastic were observed on stereomicroscope and length, area, color were measured for fragments, line and circle. Concentrations are given in total microplastic per m3, fragment per m3 and fibers per m3. The sampling dates are January 2022 under the CounterMEASUREII project.
Modélisation et prédiction des surfaces en eau en périphérie des aires protégées du Zimbabwe

[Lien vers la fiche source] L'objectif de ce projet est de modéliser les surfaces en eau quotidiennes des points d'eau en milieu semi-aride à l'aide d'un modèle développé par Soti et al. Le modèle hydraulique a besoin en entrée des précipitations journalières (ici sous forme raster, issues de TAMSAT) et de la surface maximale de chaque point d'eau étudié. Cette étude s'est concentrée sur un site en bordure d'une aire protégée, entre les parcs nationaux de Dete et Hwange, au Zimbabwe. Les données pluviométriques utilisées sont datées du 15/09/2007 au 15/09/2017.
Weed diversity and forage potential in olive groves and vineyards from a French Mediterranean region

[Lien vers la fiche source] The data set describes the weed species diversity and abundance, biomass production and quality in 16 vineyards and 16 olive groves along a pedoclimatic gradient in the French Mediterranean region (Occitanie) during the spring and fall of 2021. Leaf traits related to forage quality and digestibility were measured both at the species (n = 202) and the community (n = 305) levels. The data set includes a detailed description of pedoclimatic conditions and agricultural practices of all the surveyed fields.
Climatic dataset from ICIPE, Nairobi, Kenya, 2020

[Lien vers la fiche source] This dataset corresponds to climate data for the year 2020 at ICIPE, Nairobi, Kenya. The data includes temperature, relative humidity, atmospheric pressure in three separate CSV files with approximately one measurement every minute. The first column indicates the date and time in UTC and the second column the measurement made (column names are visible in the header). The measurements were made using a BME680 type sensor calibrated with a DS18B20 temperature probe, and connected to a Raspberry Pi. The dataset includes an R script to read the data and basic graphical visualizations. More information can be found here: [https://pi2p.ird.fr/]
Climatic dataset from ICIPE, Nairobi, Kenya, 2021

[Lien vers la fiche source] This dataset corresponds to climate data for the year 2021 at ICIPE, Nairobi, Kenya. The data includes temperature, relative humidity, atmospheric pressure in three separate CSV files with approximately one measurement every minute. The first column indicates the date and time in UTC and the second column the measurement made (column names are visible in the header). The measurements were made using a BME680 type sensor calibrated with a DS18B20 temperature probe, and connected to a Raspberry Pi. The dataset includes basic graphical visualizations. More information can be found here: [https://pi2p.ird.fr/]
Projet SIGMA_Suivi agro-climatologique de parcelles paysannes de 2014 à 2016_région de Tuy, Burkina Faso

[Lien vers la fiche source] Suivi de l'état des parcelles paysannes durant le cycle de culture et mesure des biomasses à récolte, effectués de 2014 à 2016 sur six villages de la province de Tuy au Burkina Faso, sur 30 parcelles par village.
Climatic dataset from PROINPA, Khipakhipani, La Paz, Bolivia, 2020

[Lien vers la fiche source] This dataset corresponds to climate data for the year 2020 at Fundación PROINPA, Khipakhipani, La Paz, Bolivia. The data includes temperature, relative humidity, atmospheric pressure in three separate CSV files with approximately one measurement every minute. The first column indicates the date and time in UTC and the second column the measurement made (column names are visible in the header). The measurements were made using a BME680 type sensor calibrated with a DS18B20 temperature probe, and connected to a Raspberry Pi. The dataset includes an R script to read the data and basic graphical visualizations. More information can be found here: [https://pi2p.ird.fr/]
Climatic dataset from PROINPA, Khipakhipani, La Paz, Bolivia, 2021

[Lien vers la fiche source] This dataset corresponds to climate data for the year 2021 at Fundación PROINPA, Khipakhipani, La Paz, Bolivia. The data includes temperature, relative humidity, atmospheric pressure in three separate CSV files with approximately one measurement every minute. The first column indicates the date and time in UTC and the second column the measurement made (column names are visible in the header). The measurements were made using a BME680 type sensor calibrated with a DS18B20 temperature probe, and connected to a Raspberry Pi. The dataset includes basic graphical visualizations. More information can be found here: [https://pi2p.ird.fr/]
Valorcarn-TETIS: Terms extracted with Biotex

[Lien vers la fiche source] Text-Mining: Terms extracted with Biotex tool (http://tubo.lirmm.fr/biotex) from "Valorcarn Corpus" (http://dx.doi.org/10.18167/DVN1/7YTQGQ). -- Valorcarn Project (2015-2017) [project supported by GloFoodS program (INRA-Cirad)]. Topic: Mining of scientific documents for identification of process that enables to reduce losses and waste.
Application of biomolecular techniques on tsetse fly puparia for species identification

[Lien vers la fiche source] Experimental results and script for statistical analyses related to the paper entitled "Application of biomolecular techniques on tsetse fly puparia for species identification". The study investigated whether a reliable molecular identification of tsetse species can be made from DNA of puparia. We thus evaluated and compared the performance of five DNA extraction methods, selected as the most widely used in insect genetic studies, namely Chelex® 100 Resin, CTAB, Livak’s protocol, DEB + proteinase K and QIAamp® DNA Mini kit on lab-reared as well as field-collected puparia of varying ages. These data have been obtained at the CIRDES molecular laboratory between January 2019 and June 2020.